code: def parameters(self, recurse=True):
      if not hasattr(self, "torch_params"):
          self._track_variables()
      return torch.nn.Module.parameters(self, recurse=recurse)
  
file_path: keras/keras/backend/torch/layer.py
imports: import torch
  from keras.backend.common.stateless_scope import in_stateless_scope
  from keras.ops.operation import Operation
label_desc: Use image node_id 3 for calling the TorchLayer obj's underlying member method code with example usage: obj.parameters(recurse) and returns: torch